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    Engineering Manager- Data Marketplace - Minneapolis, United States - Insight Global

    Insight Global
    Insight Global Minneapolis, United States

    1 week ago

    Insight Global background
    Description


    A financial services organization is focused on a digital transformation that will deliver modern, innovative experiences for our clients, financial advisors, and employees.

    We are investing in data and technology, using DevOps practices, and building an engineering culture of empowered technical experts.

    The technologists are involved in work that includes cloud native development, digital architecture and integration, automation, cloud data platforms, artificial intelligence, and machine learning as well as maximizing platforms such as Salesforce, AWS and Microsoft.

    This is an exciting opportunity as the full-time Engineering Manager as we are in the early stages of building an Enterprise Data Marketplace with modern engineering practices and hybrid cloud implementation.

    We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day.

    We are an equal opportunity/affirmative action employer that believes everyone matters.

    Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

    If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to .

    com.

    To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:
    .


    • MBA
    • At least 4 years of Data Engineering experience with

    Big Data Technologies:
    Databricks, Snowflake, Apache Spark, Hadoop, or Kafka


    • At least 3 years of microservices development experience: Python, Java or Scala
    • At least 2 years of experience building data pipelines, CICD pipelines, and fit for purpose data stores
    • At least 1 year of experience in Cloud technologies: AWS, Azure, Google Cloud, OpenStack, Docker, Ansible, Chef or Terraform
    • Financial Services industry experience
    • Experience in IT planning and business relationship management
    • Experience working in a matrix management organization
    • Experience with product development and management
    • Bachelor's degree in Computer Science or other technical field or equivalent work experience
    -8+ years of progressively responsible positions in Information Technology including 5+ years' experience in Data Engineering

    -3+ years of leadership experience in all aspects of Data Engineering

    -3+ years' management/supervisory experience in Data Engineering with accountability for enforcing talent management needs and performance standards.


    • Demonstrated leadership and experience managing multidiscipline, high performance work teams.
    • Strong competency in project management and execution of multiple or large projects.
    • Experience working with customers to develop solutions to complex business problems.
    • Proven ability to communicate effectively with internal/external stakeholders to support business initiatives.
    • Proven ability to function in an environment which requires flexibility, good judgment and intelligent decision making, often based on limited information and/or extreme conditions.
    • Ability to formulate, implement and evaluate plans, programs and procedures applicable to customer relationship and demand management.
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